Trends and drivers for machine vision technology
4. The PC-based versus smart camera vision debate is heating up. Generally, today’s vision systems are divided into two groups: PC-based and smart camera. Key differentiators between the two include architecture, cost, capability, and development environment.
The primary architectural difference between PC-based vision systems and smart camera vision systems is one of centralized versus distributed processing. PC-based systems generally multiplex industrial cameras from a single processor to distribute vision at multiple points on the production line. Smart camera systems combine distributed processing with high-speed networking to provide highly scalable systems.
Both approaches have advantages. PC-based machine vision systems provide great flexibility in the number of options users can select (e.g., line scan or area scan camera). They are easily used with third-party software, and tend to offer more power and speed due to sophisticated processors. PC performance increases with each boost in processor speed, which makes new PC-based vision systems well suited for the most complex or mathematically intensive applications. However, because PC technology changes so rapidly, it’s not as easily replicated as off-the-shelf smart cameras. Smart camera systems cost less to purchase and implement than their PC-based counterparts. They are simpler to operate, maintain, and integrate into the manufacturing environment. As they are less complex than computers, they are also more reliable, with fewer components presenting operational risk.
5. Proliferation of vision throughout the packaging line. Traditional end-of- line inspection is evolving into a more holistic function, transitioning to inspection at multiple points on the production and packaging lines. While many companies have already installed inspection systems at the ends of their production lines to look for flawed products, declining technology costs and the proliferation of network bandwidth on the factory floor have allowed more manufacturers to deploy systems at multiple production points to catch defects as soon as they occur. The end result: better information and faster response.
6. It’s a more colorful, detailed world. The depth of color vision tools is empowering customers. Newly available color vision systems are “entry-level” in terms of price only. They are not one-tooled sensors, but highly capable smart systems with all the tools of their monochrome counterparts, plus specialized ones. This advance is taken further by the shift to higher resolution, which is prompting many users to tackle more challenging inspection applications.
7. Making it simple is a priority. Continuing to improve ease of use is something that all companies making inspection systems will continue to focus on. That (and entry-level pricing) is key to attracting new customers and opening up new applications. User interfaces are being made simpler and easier with icons, multi-lingual help text, and one-button operations for functions such as learning a product. The more inspection system vendors reduce the learning curve, the more they lower the cost of deployment.
8. The use of Ethernet is accelerating. Inspection systems generate an enormous amount of process information, compared to many other factory floor devices. As a result, they are one of the driving technologies accelerating the use of Ethernet on the plant floor. Users needed to move the large images and data files, so they turned to Ethernet because most had some in-house expertise with it at the corporate IT level. Today, Ethernet is a key enabler for those using inspection systems on the factory floor. Many systems offer built-in Ethernet networking capabilities that can link multiple sensors across the factory, integrate software for managing inspection activity remotely, and share emerging inspection information with all levels of an organization.





















































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Trends and drivers for machine vision technology | Packaging
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